LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools

BACKGROUND: Chemical and biomedical named entity recognition (NER) is an essential preprocessing task in natural language processing. The identification and extraction of named entities from scientific articles is also attracting increasing interest in many scientific disciplines. Locating chemical...

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Detalles Bibliográficos
Autores principales: Hemati, Wahed, Mehler, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689880/
https://www.ncbi.nlm.nih.gov/pubmed/30631966
http://dx.doi.org/10.1186/s13321-018-0327-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689880/
https://www.ncbi.nlm.nih.gov/pubmed/30631966
http://dx.doi.org/10.1186/s13321-018-0327-2

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